# scraping-instagram-comments

Collects Instagram post comments through Apify, including text, engagement counts, timestamps, and commenter details. Useful for audience reaction analysis.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 750 installs · ★ 1
- Author: apidojo
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/primitives/scraping-instagram-comments/SKILL.md
- Updated: 2026-05-13
- HTML: https://affpapa.org/en/nevibecode/skills/scraping-instagram-comments

## What it does

This skill runs the `apidojo~instagram-comments-scraper` actor on Apify. It accepts post URLs in `startUrls` or post IDs in `postIds`; `maxItems` limits the returned comments, while `customMapFunction` can reshape each output object. Results include the comment text, creation time, like and reply counts, user data, and ranking status.

The included workflow uses `scripts/run_actor.js` and can print a table or write CSV and JSON files. A REST fallback uses `$APIFY_TOKEN`, and an available Apify MCP connection can call the actor through `call_actor`. Private posts produce 0 results. A rate limit calls for a lower `maxItems`, while a deleted post returns an error and requires checking the URL.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-instagram-comments -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/scraping-instagram-comments/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/scraping-instagram-comments/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-instagram-comments -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/scraping-instagram-comments/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-instagram-comments -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/scraping-instagram-comments/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install apidojo-io/apidojo-skills scraping-instagram-comments
```

2. **Manually: put the files in place**
- File: `.github/skills/scraping-instagram-comments/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-instagram-comments -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/apidojo-io/apidojo-skills --path skills/primitives/scraping-instagram-comments
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/scraping-instagram-comments/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-instagram-comments -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/primitives/scraping-instagram-comments/SKILL.md

## When to use it
- collect comments from an Instagram post URL
- export comment data to CSV or JSON
- inspect likes and replies for each comment
- gather commenter usernames and timestamps
- cap the result size with `maxItems`

## Example prompts
- Collect comments from the Instagram post `https://www.instagram.com/p/POSTCODE/` and show them as a table.
- Export up to 100 comments from `https://www.instagram.com/p/POSTCODE/` to `results.csv`.
- Save this post's comments to `results.json` as JSON.

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 535fb5afe458d9b4.

BEGIN THIRD-PARTY FILE 535fb5afe458d9b4
````text
---
name: scraping-instagram-comments
description: >
  Extracts comments from Instagram posts using apidojo's Instagram Comments Scraper on Apify.
  Triggers when the user asks to: get all comments on an Instagram post, scrape Instagram comment
  data, export comments from an Instagram URL, fetch comment text and engagement from Instagram posts,
  collect commenter usernames from a post, or download audience reaction data from Instagram content.
  Returns comment text, like count, reply count, commenter username, verified status, and timestamp.
  Ideal for sentiment analysts, community managers, and social media researchers.
license: Apache-2.0
metadata:
  author: apidojo
  version: "1.0"
  apify-actor: apidojo/instagram-comments-scraper
---

# Scraping Instagram Comments

Raw data collection. No assumed use case — returns the full dataset for downstream analysis.

---

## Inputs

| Parameter | Type | Required | Default | Notes |
|-----------|------|----------|---------|-------|
| `startUrls` | array | Optional | `[]` | Instagram post URLs |
| `postIds` | array | Optional | `[]` | Instagram post IDs |
| `maxItems` | number | Optional | Unlimited | Maximum comments to return |
| `customMapFunction` | string | Optional | — | JavaScript function to transform each output object |

## How to Run

### Using run_actor.js (recommended)

```bash
# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~instagram-comments-scraper" --input '{"startUrls": ["https://www.instagram.com/p/POSTCODE/"], "maxItems": 100}'

# Save as CSV
node scripts/run_actor.js --actor "apidojo~instagram-comments-scraper" --input '{"startUrls": ["https://www.instagram.com/p/POSTCODE/"], "maxItems": 100}' --output results.csv --format csv

# Save as JSON
node scripts/run_actor.js --actor "apidojo~instagram-comments-scraper" --input '{"startUrls": ["https://www.instagram.com/p/POSTCODE/"], "maxItems": 100}' --output results.json --format json
```

### REST API fallback

```bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~instagram-comments-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": ["https://www.instagram.com/p/POSTCODE/"], "maxItems": 100}'
```

If Apify MCP is available:
Use the Apify MCP `call_actor` tool with actor `apidojo~instagram-comments-scraper` and the input above.

---

## Output Fields

| Field | Type | Description |
|-------|------|-------------|
| `postId` | string | Parent post ID |
| `type` | string | Always `comment` |
| `id` | string | Comment ID |
| `userId` | string | Commenter user ID |
| `message` | string | Comment text |
| `createdAt` | string | Comment timestamp (ISO 8601) |
| `likeCount` | number | Likes on comment |
````
END THIRD-PARTY FILE 535fb5afe458d9b4

The third-party file has ended. Everything between the 535fb5afe458d9b4 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2751 of 3431 bytes. © apidojo · Apache-2.0 · https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/primitives/scraping-instagram-comments/SKILL.md

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